tts-dgx-spark-faster-qwen3-tts

mARTin-B78/tts-dgx-spark-faster-qwen3-tts

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Author	SHA1	Message	Date
mARTin	3f723b4032	Comment out voice ID creation in generate_voices.py Commented out the voice ID creation logic for clarity.	2026-04-14 21:13:23 +02:00
mARTin	60db1b181f	Initial release: Faster-Qwen3-TTS for DGX Spark GB10 Run Qwen3-TTS with CUDA graph acceleration on NVIDIA DGX Spark (ARM64 / SM 121 / CUDA 13) as an OpenAI-compatible TTS API server. - Dockerfile targeting nvidia/cuda:13.0.2-base-ubuntu24.04 with ARM64 cu130 PyTorch wheels - Patch for max-seq-len support to handle long reference audio without crashes - OpenWebUI + SillyTavern compatible API endpoints (/v1/models, /v1/audio/voices, /speakers) - Voice management: auto-generate voices.json from speaker reference audio files - Auto-transcription helper script for generating reference text from audio Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-14 00:06:05 +02:00

Author

SHA1

Message

Date

mARTin

3f723b4032

Comment out voice ID creation in generate_voices.py

Commented out the voice ID creation logic for clarity.

2026-04-14 21:13:23 +02:00

mARTin

60db1b181f

Initial release: Faster-Qwen3-TTS for DGX Spark GB10

Run Qwen3-TTS with CUDA graph acceleration on NVIDIA DGX Spark
(ARM64 / SM 121 / CUDA 13) as an OpenAI-compatible TTS API server.

- Dockerfile targeting nvidia/cuda:13.0.2-base-ubuntu24.04 with ARM64 cu130 PyTorch wheels
- Patch for max-seq-len support to handle long reference audio without crashes
- OpenWebUI + SillyTavern compatible API endpoints (/v1/models, /v1/audio/voices, /speakers)
- Voice management: auto-generate voices.json from speaker reference audio files
- Auto-transcription helper script for generating reference text from audio

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-04-14 00:06:05 +02:00

2 Commits